{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json,pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pandas.read_csv(\"./data/旅游收入.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>code</th>\n",
       "      <th>y2017</th>\n",
       "      <th>y2016</th>\n",
       "      <th>y2015</th>\n",
       "      <th>y2014</th>\n",
       "      <th>y2013</th>\n",
       "      <th>y2012</th>\n",
       "      <th>y2011</th>\n",
       "      <th>y2010</th>\n",
       "      <th>...</th>\n",
       "      <th>y2008</th>\n",
       "      <th>y2007</th>\n",
       "      <th>y2006</th>\n",
       "      <th>y2005</th>\n",
       "      <th>y2004</th>\n",
       "      <th>y2003</th>\n",
       "      <th>y2002</th>\n",
       "      <th>y2001</th>\n",
       "      <th>y2000</th>\n",
       "      <th>y1999</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>北京市</td>\n",
       "      <td>110000</td>\n",
       "      <td>5129.81</td>\n",
       "      <td>5070.00</td>\n",
       "      <td>4605.00</td>\n",
       "      <td>4608.00</td>\n",
       "      <td>4794.68</td>\n",
       "      <td>5149.00</td>\n",
       "      <td>5416.00</td>\n",
       "      <td>5044.61</td>\n",
       "      <td>...</td>\n",
       "      <td>4459.13</td>\n",
       "      <td>4580</td>\n",
       "      <td>4026.3</td>\n",
       "      <td>3618.91</td>\n",
       "      <td>3173.43</td>\n",
       "      <td>1903.54</td>\n",
       "      <td>3115</td>\n",
       "      <td>2945.99</td>\n",
       "      <td>2768.00</td>\n",
       "      <td>2496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>天津市</td>\n",
       "      <td>120000</td>\n",
       "      <td>3751.47</td>\n",
       "      <td>3556.87</td>\n",
       "      <td>3298.11</td>\n",
       "      <td>2992.10</td>\n",
       "      <td>2591.28</td>\n",
       "      <td>2226.41</td>\n",
       "      <td>1755.53</td>\n",
       "      <td>1419.51</td>\n",
       "      <td>...</td>\n",
       "      <td>1001.39</td>\n",
       "      <td>779</td>\n",
       "      <td>625.9</td>\n",
       "      <td>509.01</td>\n",
       "      <td>412.53</td>\n",
       "      <td>329.47</td>\n",
       "      <td>342</td>\n",
       "      <td>280.17</td>\n",
       "      <td>231.76</td>\n",
       "      <td>209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>河北省</td>\n",
       "      <td>130000</td>\n",
       "      <td>578.69</td>\n",
       "      <td>552.41</td>\n",
       "      <td>501.91</td>\n",
       "      <td>534.19</td>\n",
       "      <td>585.78</td>\n",
       "      <td>544.94</td>\n",
       "      <td>447.65</td>\n",
       "      <td>350.71</td>\n",
       "      <td>...</td>\n",
       "      <td>273.95</td>\n",
       "      <td>309</td>\n",
       "      <td>243.1</td>\n",
       "      <td>209.17</td>\n",
       "      <td>190.42</td>\n",
       "      <td>84.60</td>\n",
       "      <td>167</td>\n",
       "      <td>156.61</td>\n",
       "      <td>141.90</td>\n",
       "      <td>124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>山西省</td>\n",
       "      <td>140000</td>\n",
       "      <td>350.14</td>\n",
       "      <td>317.38</td>\n",
       "      <td>297.10</td>\n",
       "      <td>280.73</td>\n",
       "      <td>822.68</td>\n",
       "      <td>720.24</td>\n",
       "      <td>567.19</td>\n",
       "      <td>464.60</td>\n",
       "      <td>...</td>\n",
       "      <td>300.65</td>\n",
       "      <td>222</td>\n",
       "      <td>164.2</td>\n",
       "      <td>116.22</td>\n",
       "      <td>81.23</td>\n",
       "      <td>36.27</td>\n",
       "      <td>75</td>\n",
       "      <td>59.47</td>\n",
       "      <td>49.91</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>内蒙古自治区</td>\n",
       "      <td>150000</td>\n",
       "      <td>1245.56</td>\n",
       "      <td>1139.03</td>\n",
       "      <td>962.49</td>\n",
       "      <td>1002.96</td>\n",
       "      <td>962.29</td>\n",
       "      <td>771.96</td>\n",
       "      <td>670.97</td>\n",
       "      <td>601.90</td>\n",
       "      <td>...</td>\n",
       "      <td>577.19</td>\n",
       "      <td>545</td>\n",
       "      <td>403.7</td>\n",
       "      <td>352.07</td>\n",
       "      <td>253.30</td>\n",
       "      <td>138.45</td>\n",
       "      <td>149</td>\n",
       "      <td>137.40</td>\n",
       "      <td>126.45</td>\n",
       "      <td>120</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     name    code    y2017    y2016    y2015    y2014    y2013    y2012  \\\n",
       "0     北京市  110000  5129.81  5070.00  4605.00  4608.00  4794.68  5149.00   \n",
       "1     天津市  120000  3751.47  3556.87  3298.11  2992.10  2591.28  2226.41   \n",
       "2     河北省  130000   578.69   552.41   501.91   534.19   585.78   544.94   \n",
       "3     山西省  140000   350.14   317.38   297.10   280.73   822.68   720.24   \n",
       "4  内蒙古自治区  150000  1245.56  1139.03   962.49  1002.96   962.29   771.96   \n",
       "\n",
       "     y2011    y2010  ...    y2008  y2007   y2006    y2005    y2004    y2003  \\\n",
       "0  5416.00  5044.61  ...  4459.13   4580  4026.3  3618.91  3173.43  1903.54   \n",
       "1  1755.53  1419.51  ...  1001.39    779   625.9   509.01   412.53   329.47   \n",
       "2   447.65   350.71  ...   273.95    309   243.1   209.17   190.42    84.60   \n",
       "3   567.19   464.60  ...   300.65    222   164.2   116.22    81.23    36.27   \n",
       "4   670.97   601.90  ...   577.19    545   403.7   352.07   253.30   138.45   \n",
       "\n",
       "   y2002    y2001    y2000  y1999  \n",
       "0   3115  2945.99  2768.00   2496  \n",
       "1    342   280.17   231.76    209  \n",
       "2    167   156.61   141.90    124  \n",
       "3     75    59.47    49.91     43  \n",
       "4    149   137.40   126.45    120  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "data2 = data.set_index(\"name\")\n",
    "data2 = data2.drop([\"code\"],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "data2 = data2.pivot_table(columns=\"name\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "mpl.rcParams['font.sans-serif'] = ['SimHei']\n",
    "mpl.rcParams['font.serif'] = ['SimHei']\n",
    "mpl.rcParams['axes.unicode_minus'] = False"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 折线图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,10))\n",
    "for c in data2.columns:\n",
    "    plt.plot(data2[c])\n",
    "plt.title(u\"1999-2017年中国各省国际旅游外汇收入\\n数据来源：国家统计局\")\n",
    "plt.legend()\n",
    "pass"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 用pyecharts包实现交互效果"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pyecharts\n",
    "from pyecharts import options as opts\n",
    "from pyecharts.charts import Bar,Map,Line3D,Line,Bar3D\n",
    "from pyecharts.globals import ThemeType"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts':'https://assets.pyecharts.org/assets/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "\n",
       "        <div id=\"d3a1b45670334d718beade05b5e812ef\" style=\"width:900px; height:500px;\"></div>\n",
       "\n",
       "<script>\n",
       "        require(['echarts'], function(echarts) {\n",
       "                var chart_d3a1b45670334d718beade05b5e812ef = echarts.init(\n",
       "                    document.getElementById('d3a1b45670334d718beade05b5e812ef'), 'dark', {renderer: 'canvas'});\n",
       "                var option_d3a1b45670334d718beade05b5e812ef = {\n",
       "    \"animation\": true,\n",
       "    \"animationThreshold\": 2000,\n",
       "    \"animationDuration\": 1000,\n",
       "    \"animationEasing\": \"cubicOut\",\n",
       "    \"animationDelay\": 0,\n",
       "    \"animationDurationUpdate\": 300,\n",
       "    \"animationEasingUpdate\": \"cubicOut\",\n",
       "    \"animationDelayUpdate\": 0,\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"type\": \"line\",\n",
       "            \"name\": \"\\u4e0a\\u6d77\\u5e02\",\n",
       "            \"connectNulls\": false,\n",
       "            \"symbolSize\": 4,\n",
       "            \"showSymbol\": true,\n",
       "            \"smooth\": false,\n",
       "            \"step\": false,\n",
       "            \"data\": [\n",
       "                [\n",
       "                    \"y1999\",\n",
       "                    1364.0\n",
       "                ],\n",
       "                [\n",
       "                    \"y2000\",\n",
       "                    1612.67\n",
       "                ],\n",
       "                [\n",
       "                    \"y2001\",\n",
       "                    1807.71\n",
       "                ],\n",
       "                [\n",
       "                    \"y2002\",\n",
       "                    2275.0\n",
       "                ],\n",
       "                [\n",
       "                    \"y2003\",\n",
       "                    2052.66\n",
       "                ],\n",
       "                [\n",
       "                    \"y2004\",\n",
       "                    3041.24\n",
       "                ],\n",
       "                [\n",
       "                    \"y2005\",\n",
       "                    3555.88\n",
       "                ],\n",
       "                [\n",
       "                    \"y2006\",\n",
       "                    3903.9\n",
       "                ],\n",
       "                [\n",
       "                    \"y2007\",\n",
       "                    4673.0\n",
       "                ],\n",
       "                [\n",
       "                    \"y2008\",\n",
       "                    4971.72\n",
       "                ],\n",
       "                [\n",
       "                    \"y2009\",\n",
       "                    4744.02\n",
       "                ],\n",
       "                [\n",
       "                    \"y2010\",\n",
       "                    6340.92\n",
       "                ],\n",
       "                [\n",
       "                    \"y2011\",\n",
       "                    5751.18\n",
       "                ],\n",
       "                [\n",
       "                    \"y2012\",\n",
       "                    5493.23\n",
       "                ],\n",
       "                [\n",
       "                    \"y2013\",\n",
       "                    5244.7\n",
       "                ],\n",
       "                [\n",
       "                    \"y2014\",\n",
       "                    5601.85\n",
       "                ],\n",
       "                [\n",
       "                    \"y2015\",\n",
       "                    5860.44\n",
       "                ],\n",
       "                [\n",
       "                    \"y2016\",\n",
       "                    6419.2\n",
       "                ],\n",
       "                [\n",
       "                    \"y2017\",\n",
       "                    6698.65\n",
       "                ]\n",
       "            ],\n",
       "            \"hoverAnimation\": true,\n",
       "            \"label\": {\n",
       "                \"show\": false,\n",
       "                \"position\": \"top\",\n",
       "                \"margin\": 8\n",
       "            },\n",
       "            \"lineStyle\": {\n",
       "                \"width\": 1,\n",
       "                \"opacity\": 1,\n",
       "                \"curveness\": 0,\n",
       "                \"type\": \"solid\"\n",
       "            },\n",
       "            \"areaStyle\": {\n",
       "                \"opacity\": 0\n",
       "            },\n",
       "            \"rippleEffect\": {\n",
       "                \"show\": true,\n",
       "                \"brushType\": \"stroke\",\n",
       "                \"scale\": 2.5,\n",
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       "                    \"y2015\",\n",
       "                    38.76\n",
       "                ],\n",
       "                [\n",
       "                    \"y2016\",\n",
       "                    44.16\n",
       "                ],\n",
       "                [\n",
       "                    \"y2017\",\n",
       "                    38.29\n",
       "                ]\n",
       "            ],\n",
       "            \"hoverAnimation\": true,\n",
       "            \"label\": {\n",
       "                \"show\": false,\n",
       "                \"position\": \"top\",\n",
       "                \"margin\": 8\n",
       "            },\n",
       "            \"lineStyle\": {\n",
       "                \"width\": 1,\n",
       "                \"opacity\": 1,\n",
       "                \"curveness\": 0,\n",
       "                \"type\": \"solid\"\n",
       "            },\n",
       "            \"areaStyle\": {\n",
       "                \"opacity\": 0\n",
       "            },\n",
       "            \"rippleEffect\": {\n",
       "                \"show\": true,\n",
       "                \"brushType\": \"stroke\",\n",
       "                \"scale\": 2.5,\n",
       "                \"period\": 4\n",
       "            }\n",
       "        },\n",
       "        {\n",
       "            \"type\": \"line\",\n",
       "            \"name\": \"\\u9ed1\\u9f99\\u6c5f\\u7701\",\n",
       "            \"connectNulls\": false,\n",
       "            \"symbolSize\": 4,\n",
       "            \"showSymbol\": true,\n",
       "            \"smooth\": false,\n",
       "            \"step\": false,\n",
       "            \"data\": [\n",
       "                [\n",
       "                    \"y1999\",\n",
       "                    148.0\n",
       "                ],\n",
       "                [\n",
       "                    \"y2000\",\n",
       "                    189.05\n",
       "                ],\n",
       "                [\n",
       "                    \"y2001\",\n",
       "                    249.9\n",
       "                ],\n",
       "                [\n",
       "                    \"y2002\",\n",
       "                    297.0\n",
       "                ],\n",
       "                [\n",
       "                    \"y2003\",\n",
       "                    243.64\n",
       "                ],\n",
       "                [\n",
       "                    \"y2004\",\n",
       "                    302.15\n",
       "                ],\n",
       "                [\n",
       "                    \"y2005\",\n",
       "                    340.43\n",
       "                ],\n",
       "                [\n",
       "                    \"y2006\",\n",
       "                    492.0\n",
       "                ],\n",
       "                [\n",
       "                    \"y2007\",\n",
       "                    643.0\n",
       "                ],\n",
       "                [\n",
       "                    \"y2008\",\n",
       "                    869.95\n",
       "                ],\n",
       "                [\n",
       "                    \"y2009\",\n",
       "                    638.68\n",
       "                ],\n",
       "                [\n",
       "                    \"y2010\",\n",
       "                    762.5\n",
       "                ],\n",
       "                [\n",
       "                    \"y2011\",\n",
       "                    917.62\n",
       "                ],\n",
       "                [\n",
       "                    \"y2012\",\n",
       "                    835.48\n",
       "                ],\n",
       "                [\n",
       "                    \"y2013\",\n",
       "                    604.36\n",
       "                ],\n",
       "                [\n",
       "                    \"y2014\",\n",
       "                    563.56\n",
       "                ],\n",
       "                [\n",
       "                    \"y2015\",\n",
       "                    395.33\n",
       "                ],\n",
       "                [\n",
       "                    \"y2016\",\n",
       "                    458.05\n",
       "                ],\n",
       "                [\n",
       "                    \"y2017\",\n",
       "                    479.58\n",
       "                ]\n",
       "            ],\n",
       "            \"hoverAnimation\": true,\n",
       "            \"label\": {\n",
       "                \"show\": false,\n",
       "                \"position\": \"top\",\n",
       "                \"margin\": 8\n",
       "            },\n",
       "            \"lineStyle\": {\n",
       "                \"width\": 1,\n",
       "                \"opacity\": 1,\n",
       "                \"curveness\": 0,\n",
       "                \"type\": \"solid\"\n",
       "            },\n",
       "            \"areaStyle\": {\n",
       "                \"opacity\": 0\n",
       "            },\n",
       "            \"rippleEffect\": {\n",
       "                \"show\": true,\n",
       "                \"brushType\": \"stroke\",\n",
       "                \"scale\": 2.5,\n",
       "                \"period\": 4\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"\\u4e0a\\u6d77\\u5e02\",\n",
       "                \"\\u4e91\\u5357\\u7701\",\n",
       "                \"\\u5185\\u8499\\u53e4\\u81ea\\u6cbb\\u533a\",\n",
       "                \"\\u5317\\u4eac\\u5e02\",\n",
       "                \"\\u5409\\u6797\\u7701\",\n",
       "                \"\\u56db\\u5ddd\\u7701\",\n",
       "                \"\\u5929\\u6d25\\u5e02\",\n",
       "                \"\\u5b81\\u590f\\u56de\\u65cf\\u81ea\\u6cbb\\u533a\",\n",
       "                \"\\u5b89\\u5fbd\\u7701\",\n",
       "                \"\\u5c71\\u4e1c\\u7701\",\n",
       "                \"\\u5c71\\u897f\\u7701\",\n",
       "                \"\\u5e7f\\u4e1c\\u7701\",\n",
       "                \"\\u5e7f\\u897f\\u58ee\\u65cf\\u81ea\\u6cbb\\u533a\",\n",
       "                \"\\u65b0\\u7586\\u7ef4\\u543e\\u5c14\\u81ea\\u6cbb\\u533a\",\n",
       "                \"\\u6c5f\\u82cf\\u7701\",\n",
       "                \"\\u6c5f\\u897f\\u7701\",\n",
       "                \"\\u6cb3\\u5317\\u7701\",\n",
       "                \"\\u6cb3\\u5357\\u7701\",\n",
       "                \"\\u6d59\\u6c5f\\u7701\",\n",
       "                \"\\u6d77\\u5357\\u7701\",\n",
       "                \"\\u6e56\\u5317\\u7701\",\n",
       "                \"\\u6e56\\u5357\\u7701\",\n",
       "                \"\\u7518\\u8083\\u7701\",\n",
       "                \"\\u798f\\u5efa\\u7701\",\n",
       "                \"\\u897f\\u85cf\\u81ea\\u6cbb\\u533a\",\n",
       "                \"\\u8d35\\u5dde\\u7701\",\n",
       "                \"\\u8fbd\\u5b81\\u7701\",\n",
       "                \"\\u91cd\\u5e86\\u5e02\",\n",
       "                \"\\u9655\\u897f\\u7701\",\n",
       "                \"\\u9752\\u6d77\\u7701\",\n",
       "                \"\\u9ed1\\u9f99\\u6c5f\\u7701\"\n",
       "            ],\n",
       "            \"selected\": {\n",
       "                \"\\u4e0a\\u6d77\\u5e02\": true,\n",
       "                \"\\u4e91\\u5357\\u7701\": true,\n",
       "                \"\\u5185\\u8499\\u53e4\\u81ea\\u6cbb\\u533a\": true,\n",
       "                \"\\u5317\\u4eac\\u5e02\": true,\n",
       "                \"\\u5409\\u6797\\u7701\": true,\n",
       "                \"\\u56db\\u5ddd\\u7701\": true,\n",
       "                \"\\u5929\\u6d25\\u5e02\": true,\n",
       "                \"\\u5b81\\u590f\\u56de\\u65cf\\u81ea\\u6cbb\\u533a\": true,\n",
       "                \"\\u5b89\\u5fbd\\u7701\": true,\n",
       "                \"\\u5c71\\u4e1c\\u7701\": true,\n",
       "                \"\\u5c71\\u897f\\u7701\": true,\n",
       "                \"\\u5e7f\\u4e1c\\u7701\": true,\n",
       "                \"\\u5e7f\\u897f\\u58ee\\u65cf\\u81ea\\u6cbb\\u533a\": true,\n",
       "                \"\\u65b0\\u7586\\u7ef4\\u543e\\u5c14\\u81ea\\u6cbb\\u533a\": true,\n",
       "                \"\\u6c5f\\u82cf\\u7701\": true,\n",
       "                \"\\u6c5f\\u897f\\u7701\": true,\n",
       "                \"\\u6cb3\\u5317\\u7701\": true,\n",
       "                \"\\u6cb3\\u5357\\u7701\": true,\n",
       "                \"\\u6d59\\u6c5f\\u7701\": true,\n",
       "                \"\\u6d77\\u5357\\u7701\": true,\n",
       "                \"\\u6e56\\u5317\\u7701\": true,\n",
       "                \"\\u6e56\\u5357\\u7701\": true,\n",
       "                \"\\u7518\\u8083\\u7701\": true,\n",
       "                \"\\u798f\\u5efa\\u7701\": true,\n",
       "                \"\\u897f\\u85cf\\u81ea\\u6cbb\\u533a\": true,\n",
       "                \"\\u8d35\\u5dde\\u7701\": true,\n",
       "                \"\\u8fbd\\u5b81\\u7701\": true,\n",
       "                \"\\u91cd\\u5e86\\u5e02\": true,\n",
       "                \"\\u9655\\u897f\\u7701\": true,\n",
       "                \"\\u9752\\u6d77\\u7701\": true,\n",
       "                \"\\u9ed1\\u9f99\\u6c5f\\u7701\": true\n",
       "            },\n",
       "            \"show\": true\n",
       "        }\n",
       "    ],\n",
       "    \"tooltip\": {\n",
       "        \"show\": true,\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"borderWidth\": 0\n",
       "    },\n",
       "    \"xAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"axisLabel\": {\n",
       "                \"show\": true,\n",
       "                \"position\": \"top\",\n",
       "                \"rotate\": 90,\n",
       "                \"margin\": 8\n",
       "            },\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": false,\n",
       "                \"lineStyle\": {\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            },\n",
       "            \"data\": [\n",
       "                \"y1999\",\n",
       "                \"y2000\",\n",
       "                \"y2001\",\n",
       "                \"y2002\",\n",
       "                \"y2003\",\n",
       "                \"y2004\",\n",
       "                \"y2005\",\n",
       "                \"y2006\",\n",
       "                \"y2007\",\n",
       "                \"y2008\",\n",
       "                \"y2009\",\n",
       "                \"y2010\",\n",
       "                \"y2011\",\n",
       "                \"y2012\",\n",
       "                \"y2013\",\n",
       "                \"y2014\",\n",
       "                \"y2015\",\n",
       "                \"y2016\",\n",
       "                \"y2017\"\n",
       "            ]\n",
       "        }\n",
       "    ],\n",
       "    \"yAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": false,\n",
       "                \"lineStyle\": {\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"                    \\n\\n\\n\\n1999-2017\\u5404\\u7701\\u65c5\\u6e38\\u5916\\u6c47\\u6536\\u5165\"\n",
       "        }\n",
       "    ]\n",
       "};\n",
       "                chart_d3a1b45670334d718beade05b5e812ef.setOption(option_d3a1b45670334d718beade05b5e812ef);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x1b7447af6d8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def showechartsLine(data) -> Line:\n",
    "    bar = pyecharts.charts.Line(init_opts=opts.InitOpts(theme=ThemeType.DARK))\n",
    "    bar.add_xaxis([\"{0}\".format(i) for i in data.index.tolist()])\n",
    "    for i in data.columns:\n",
    "        bar.add_yaxis(i, data[i].tolist())\n",
    "\n",
    "    bar.set_series_opts(label_opts=opts.LabelOpts(is_show=False))\n",
    "    bar.set_global_opts(title_opts=opts.TitleOpts(title=\"\\n\\n\\n\\n1999-2017各省旅游外汇收入\"),\n",
    "                       xaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(rotate=90)))\n",
    "\n",
    "    return bar\n",
    "display(showechartsLine(data2).render_notebook())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 相关性分析以及heatmap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>name</th>\n",
       "      <th>上海市</th>\n",
       "      <th>云南省</th>\n",
       "      <th>内蒙古自治区</th>\n",
       "      <th>北京市</th>\n",
       "      <th>吉林省</th>\n",
       "      <th>四川省</th>\n",
       "      <th>天津市</th>\n",
       "      <th>宁夏回族自治区</th>\n",
       "      <th>安徽省</th>\n",
       "      <th>山东省</th>\n",
       "      <th>...</th>\n",
       "      <th>湖南省</th>\n",
       "      <th>甘肃省</th>\n",
       "      <th>福建省</th>\n",
       "      <th>西藏自治区</th>\n",
       "      <th>贵州省</th>\n",
       "      <th>辽宁省</th>\n",
       "      <th>重庆市</th>\n",
       "      <th>陕西省</th>\n",
       "      <th>青海省</th>\n",
       "      <th>黑龙江省</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>上海市</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.841560</td>\n",
       "      <td>0.916003</td>\n",
       "      <td>0.949907</td>\n",
       "      <td>0.840346</td>\n",
       "      <td>0.762489</td>\n",
       "      <td>0.840705</td>\n",
       "      <td>0.650041</td>\n",
       "      <td>0.802679</td>\n",
       "      <td>0.936114</td>\n",
       "      <td>...</td>\n",
       "      <td>0.954151</td>\n",
       "      <td>-0.582015</td>\n",
       "      <td>0.859181</td>\n",
       "      <td>0.816097</td>\n",
       "      <td>0.857771</td>\n",
       "      <td>0.783098</td>\n",
       "      <td>0.845188</td>\n",
       "      <td>0.840802</td>\n",
       "      <td>0.841184</td>\n",
       "      <td>0.739290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>云南省</td>\n",
       "      <td>0.841560</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.974229</td>\n",
       "      <td>0.756331</td>\n",
       "      <td>0.993533</td>\n",
       "      <td>0.947160</td>\n",
       "      <td>0.996092</td>\n",
       "      <td>0.894061</td>\n",
       "      <td>0.993870</td>\n",
       "      <td>0.938840</td>\n",
       "      <td>...</td>\n",
       "      <td>0.884071</td>\n",
       "      <td>-0.619639</td>\n",
       "      <td>0.995365</td>\n",
       "      <td>0.922291</td>\n",
       "      <td>0.974727</td>\n",
       "      <td>0.659175</td>\n",
       "      <td>0.995473</td>\n",
       "      <td>0.995238</td>\n",
       "      <td>0.936170</td>\n",
       "      <td>0.367880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>内蒙古自治区</td>\n",
       "      <td>0.916003</td>\n",
       "      <td>0.974229</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.846254</td>\n",
       "      <td>0.966545</td>\n",
       "      <td>0.911435</td>\n",
       "      <td>0.972097</td>\n",
       "      <td>0.836630</td>\n",
       "      <td>0.952397</td>\n",
       "      <td>0.955343</td>\n",
       "      <td>...</td>\n",
       "      <td>0.921499</td>\n",
       "      <td>-0.592839</td>\n",
       "      <td>0.975378</td>\n",
       "      <td>0.908313</td>\n",
       "      <td>0.971677</td>\n",
       "      <td>0.719140</td>\n",
       "      <td>0.969978</td>\n",
       "      <td>0.967089</td>\n",
       "      <td>0.906545</td>\n",
       "      <td>0.509818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>北京市</td>\n",
       "      <td>0.949907</td>\n",
       "      <td>0.756331</td>\n",
       "      <td>0.846254</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.756262</td>\n",
       "      <td>0.676872</td>\n",
       "      <td>0.750375</td>\n",
       "      <td>0.528891</td>\n",
       "      <td>0.716653</td>\n",
       "      <td>0.901638</td>\n",
       "      <td>...</td>\n",
       "      <td>0.951824</td>\n",
       "      <td>-0.449030</td>\n",
       "      <td>0.776131</td>\n",
       "      <td>0.775546</td>\n",
       "      <td>0.799415</td>\n",
       "      <td>0.837675</td>\n",
       "      <td>0.771700</td>\n",
       "      <td>0.766404</td>\n",
       "      <td>0.773475</td>\n",
       "      <td>0.819873</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>吉林省</td>\n",
       "      <td>0.840346</td>\n",
       "      <td>0.993533</td>\n",
       "      <td>0.966545</td>\n",
       "      <td>0.756262</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.955953</td>\n",
       "      <td>0.997324</td>\n",
       "      <td>0.887676</td>\n",
       "      <td>0.992432</td>\n",
       "      <td>0.942577</td>\n",
       "      <td>...</td>\n",
       "      <td>0.870397</td>\n",
       "      <td>-0.621676</td>\n",
       "      <td>0.987866</td>\n",
       "      <td>0.921825</td>\n",
       "      <td>0.967359</td>\n",
       "      <td>0.663060</td>\n",
       "      <td>0.992087</td>\n",
       "      <td>0.990428</td>\n",
       "      <td>0.952449</td>\n",
       "      <td>0.367414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>四川省</td>\n",
       "      <td>0.762489</td>\n",
       "      <td>0.947160</td>\n",
       "      <td>0.911435</td>\n",
       "      <td>0.676872</td>\n",
       "      <td>0.955953</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.946694</td>\n",
       "      <td>0.936479</td>\n",
       "      <td>0.961967</td>\n",
       "      <td>0.860126</td>\n",
       "      <td>...</td>\n",
       "      <td>0.808550</td>\n",
       "      <td>-0.420431</td>\n",
       "      <td>0.952594</td>\n",
       "      <td>0.931632</td>\n",
       "      <td>0.954096</td>\n",
       "      <td>0.510994</td>\n",
       "      <td>0.947836</td>\n",
       "      <td>0.956305</td>\n",
       "      <td>0.960201</td>\n",
       "      <td>0.220973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>天津市</td>\n",
       "      <td>0.840705</td>\n",
       "      <td>0.996092</td>\n",
       "      <td>0.972097</td>\n",
       "      <td>0.750375</td>\n",
       "      <td>0.997324</td>\n",
       "      <td>0.946694</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.887383</td>\n",
       "      <td>0.992798</td>\n",
       "      <td>0.937580</td>\n",
       "      <td>...</td>\n",
       "      <td>0.870360</td>\n",
       "      <td>-0.636966</td>\n",
       "      <td>0.989930</td>\n",
       "      <td>0.916685</td>\n",
       "      <td>0.965369</td>\n",
       "      <td>0.655370</td>\n",
       "      <td>0.994252</td>\n",
       "      <td>0.991588</td>\n",
       "      <td>0.938512</td>\n",
       "      <td>0.367608</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>宁夏回族自治区</td>\n",
       "      <td>0.650041</td>\n",
       "      <td>0.894061</td>\n",
       "      <td>0.836630</td>\n",
       "      <td>0.528891</td>\n",
       "      <td>0.887676</td>\n",
       "      <td>0.936479</td>\n",
       "      <td>0.887383</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.909857</td>\n",
       "      <td>0.732183</td>\n",
       "      <td>...</td>\n",
       "      <td>0.709037</td>\n",
       "      <td>-0.445469</td>\n",
       "      <td>0.905328</td>\n",
       "      <td>0.850257</td>\n",
       "      <td>0.885583</td>\n",
       "      <td>0.324248</td>\n",
       "      <td>0.884432</td>\n",
       "      <td>0.898981</td>\n",
       "      <td>0.886756</td>\n",
       "      <td>0.058655</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>安徽省</td>\n",
       "      <td>0.802679</td>\n",
       "      <td>0.993870</td>\n",
       "      <td>0.952397</td>\n",
       "      <td>0.716653</td>\n",
       "      <td>0.992432</td>\n",
       "      <td>0.961967</td>\n",
       "      <td>0.992798</td>\n",
       "      <td>0.909857</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.920204</td>\n",
       "      <td>...</td>\n",
       "      <td>0.859168</td>\n",
       "      <td>-0.603018</td>\n",
       "      <td>0.991218</td>\n",
       "      <td>0.916054</td>\n",
       "      <td>0.963326</td>\n",
       "      <td>0.621289</td>\n",
       "      <td>0.994806</td>\n",
       "      <td>0.995820</td>\n",
       "      <td>0.943672</td>\n",
       "      <td>0.315133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>山东省</td>\n",
       "      <td>0.936114</td>\n",
       "      <td>0.938840</td>\n",
       "      <td>0.955343</td>\n",
       "      <td>0.901638</td>\n",
       "      <td>0.942577</td>\n",
       "      <td>0.860126</td>\n",
       "      <td>0.937580</td>\n",
       "      <td>0.732183</td>\n",
       "      <td>0.920204</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.956158</td>\n",
       "      <td>-0.649515</td>\n",
       "      <td>0.941649</td>\n",
       "      <td>0.884769</td>\n",
       "      <td>0.918091</td>\n",
       "      <td>0.848431</td>\n",
       "      <td>0.946997</td>\n",
       "      <td>0.940883</td>\n",
       "      <td>0.906843</td>\n",
       "      <td>0.626264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>山西省</td>\n",
       "      <td>0.725310</td>\n",
       "      <td>0.609317</td>\n",
       "      <td>0.667596</td>\n",
       "      <td>0.795134</td>\n",
       "      <td>0.608357</td>\n",
       "      <td>0.450920</td>\n",
       "      <td>0.600819</td>\n",
       "      <td>0.264333</td>\n",
       "      <td>0.568968</td>\n",
       "      <td>0.801503</td>\n",
       "      <td>...</td>\n",
       "      <td>0.746792</td>\n",
       "      <td>-0.551666</td>\n",
       "      <td>0.599581</td>\n",
       "      <td>0.526567</td>\n",
       "      <td>0.580318</td>\n",
       "      <td>0.994145</td>\n",
       "      <td>0.629971</td>\n",
       "      <td>0.610123</td>\n",
       "      <td>0.505301</td>\n",
       "      <td>0.770066</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>广东省</td>\n",
       "      <td>0.917864</td>\n",
       "      <td>0.976151</td>\n",
       "      <td>0.983455</td>\n",
       "      <td>0.858064</td>\n",
       "      <td>0.977537</td>\n",
       "      <td>0.904813</td>\n",
       "      <td>0.979247</td>\n",
       "      <td>0.804646</td>\n",
       "      <td>0.961359</td>\n",
       "      <td>0.983242</td>\n",
       "      <td>...</td>\n",
       "      <td>0.935706</td>\n",
       "      <td>-0.640183</td>\n",
       "      <td>0.974663</td>\n",
       "      <td>0.913244</td>\n",
       "      <td>0.955565</td>\n",
       "      <td>0.770570</td>\n",
       "      <td>0.981070</td>\n",
       "      <td>0.974724</td>\n",
       "      <td>0.926908</td>\n",
       "      <td>0.533371</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>广西壮族自治区</td>\n",
       "      <td>0.817789</td>\n",
       "      <td>0.996470</td>\n",
       "      <td>0.962768</td>\n",
       "      <td>0.737492</td>\n",
       "      <td>0.992787</td>\n",
       "      <td>0.963811</td>\n",
       "      <td>0.992594</td>\n",
       "      <td>0.916188</td>\n",
       "      <td>0.996697</td>\n",
       "      <td>0.922325</td>\n",
       "      <td>...</td>\n",
       "      <td>0.870820</td>\n",
       "      <td>-0.575731</td>\n",
       "      <td>0.993847</td>\n",
       "      <td>0.930622</td>\n",
       "      <td>0.977733</td>\n",
       "      <td>0.623712</td>\n",
       "      <td>0.993952</td>\n",
       "      <td>0.995746</td>\n",
       "      <td>0.947084</td>\n",
       "      <td>0.325268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>新疆维吾尔自治区</td>\n",
       "      <td>0.764803</td>\n",
       "      <td>0.952560</td>\n",
       "      <td>0.914488</td>\n",
       "      <td>0.731339</td>\n",
       "      <td>0.941032</td>\n",
       "      <td>0.895158</td>\n",
       "      <td>0.944235</td>\n",
       "      <td>0.794922</td>\n",
       "      <td>0.959074</td>\n",
       "      <td>0.912932</td>\n",
       "      <td>...</td>\n",
       "      <td>0.862898</td>\n",
       "      <td>-0.546628</td>\n",
       "      <td>0.945709</td>\n",
       "      <td>0.874450</td>\n",
       "      <td>0.921421</td>\n",
       "      <td>0.710311</td>\n",
       "      <td>0.965949</td>\n",
       "      <td>0.962230</td>\n",
       "      <td>0.866795</td>\n",
       "      <td>0.379222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>江苏省</td>\n",
       "      <td>0.859205</td>\n",
       "      <td>0.578800</td>\n",
       "      <td>0.667091</td>\n",
       "      <td>0.890525</td>\n",
       "      <td>0.588057</td>\n",
       "      <td>0.503456</td>\n",
       "      <td>0.579611</td>\n",
       "      <td>0.321399</td>\n",
       "      <td>0.554495</td>\n",
       "      <td>0.798152</td>\n",
       "      <td>...</td>\n",
       "      <td>0.837995</td>\n",
       "      <td>-0.499966</td>\n",
       "      <td>0.615183</td>\n",
       "      <td>0.571201</td>\n",
       "      <td>0.583952</td>\n",
       "      <td>0.795015</td>\n",
       "      <td>0.607395</td>\n",
       "      <td>0.601838</td>\n",
       "      <td>0.634208</td>\n",
       "      <td>0.886389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>江西省</td>\n",
       "      <td>0.898261</td>\n",
       "      <td>0.975766</td>\n",
       "      <td>0.977856</td>\n",
       "      <td>0.842045</td>\n",
       "      <td>0.976352</td>\n",
       "      <td>0.887722</td>\n",
       "      <td>0.979587</td>\n",
       "      <td>0.796700</td>\n",
       "      <td>0.960661</td>\n",
       "      <td>0.979409</td>\n",
       "      <td>...</td>\n",
       "      <td>0.922491</td>\n",
       "      <td>-0.680071</td>\n",
       "      <td>0.970847</td>\n",
       "      <td>0.900538</td>\n",
       "      <td>0.942789</td>\n",
       "      <td>0.778445</td>\n",
       "      <td>0.979217</td>\n",
       "      <td>0.971465</td>\n",
       "      <td>0.910116</td>\n",
       "      <td>0.527868</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>河北省</td>\n",
       "      <td>0.888920</td>\n",
       "      <td>0.942124</td>\n",
       "      <td>0.963565</td>\n",
       "      <td>0.875944</td>\n",
       "      <td>0.944273</td>\n",
       "      <td>0.867553</td>\n",
       "      <td>0.944304</td>\n",
       "      <td>0.734824</td>\n",
       "      <td>0.925378</td>\n",
       "      <td>0.974283</td>\n",
       "      <td>...</td>\n",
       "      <td>0.923285</td>\n",
       "      <td>-0.576500</td>\n",
       "      <td>0.936544</td>\n",
       "      <td>0.887258</td>\n",
       "      <td>0.932729</td>\n",
       "      <td>0.835437</td>\n",
       "      <td>0.953366</td>\n",
       "      <td>0.944223</td>\n",
       "      <td>0.873051</td>\n",
       "      <td>0.569753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>河南省</td>\n",
       "      <td>0.938088</td>\n",
       "      <td>0.925417</td>\n",
       "      <td>0.954684</td>\n",
       "      <td>0.919485</td>\n",
       "      <td>0.926090</td>\n",
       "      <td>0.825227</td>\n",
       "      <td>0.922893</td>\n",
       "      <td>0.702772</td>\n",
       "      <td>0.897092</td>\n",
       "      <td>0.992098</td>\n",
       "      <td>...</td>\n",
       "      <td>0.953426</td>\n",
       "      <td>-0.644874</td>\n",
       "      <td>0.923143</td>\n",
       "      <td>0.863670</td>\n",
       "      <td>0.913178</td>\n",
       "      <td>0.868706</td>\n",
       "      <td>0.929709</td>\n",
       "      <td>0.922009</td>\n",
       "      <td>0.875100</td>\n",
       "      <td>0.651385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>浙江省</td>\n",
       "      <td>0.840933</td>\n",
       "      <td>0.788415</td>\n",
       "      <td>0.828579</td>\n",
       "      <td>0.814046</td>\n",
       "      <td>0.804236</td>\n",
       "      <td>0.650530</td>\n",
       "      <td>0.807050</td>\n",
       "      <td>0.458915</td>\n",
       "      <td>0.753818</td>\n",
       "      <td>0.882529</td>\n",
       "      <td>...</td>\n",
       "      <td>0.794740</td>\n",
       "      <td>-0.637146</td>\n",
       "      <td>0.762298</td>\n",
       "      <td>0.728837</td>\n",
       "      <td>0.757455</td>\n",
       "      <td>0.815649</td>\n",
       "      <td>0.788887</td>\n",
       "      <td>0.766561</td>\n",
       "      <td>0.723691</td>\n",
       "      <td>0.647494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>海南省</td>\n",
       "      <td>0.844951</td>\n",
       "      <td>0.804959</td>\n",
       "      <td>0.843690</td>\n",
       "      <td>0.830666</td>\n",
       "      <td>0.755669</td>\n",
       "      <td>0.718293</td>\n",
       "      <td>0.767726</td>\n",
       "      <td>0.675661</td>\n",
       "      <td>0.775923</td>\n",
       "      <td>0.836298</td>\n",
       "      <td>...</td>\n",
       "      <td>0.922146</td>\n",
       "      <td>-0.459250</td>\n",
       "      <td>0.836293</td>\n",
       "      <td>0.767771</td>\n",
       "      <td>0.818759</td>\n",
       "      <td>0.679264</td>\n",
       "      <td>0.808955</td>\n",
       "      <td>0.816897</td>\n",
       "      <td>0.737896</td>\n",
       "      <td>0.621163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>湖北省</td>\n",
       "      <td>0.829217</td>\n",
       "      <td>0.992281</td>\n",
       "      <td>0.953890</td>\n",
       "      <td>0.747464</td>\n",
       "      <td>0.990973</td>\n",
       "      <td>0.964616</td>\n",
       "      <td>0.988182</td>\n",
       "      <td>0.907504</td>\n",
       "      <td>0.995817</td>\n",
       "      <td>0.932778</td>\n",
       "      <td>...</td>\n",
       "      <td>0.884281</td>\n",
       "      <td>-0.585413</td>\n",
       "      <td>0.993395</td>\n",
       "      <td>0.926504</td>\n",
       "      <td>0.971770</td>\n",
       "      <td>0.636562</td>\n",
       "      <td>0.993700</td>\n",
       "      <td>0.996445</td>\n",
       "      <td>0.959088</td>\n",
       "      <td>0.344495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>湖南省</td>\n",
       "      <td>0.954151</td>\n",
       "      <td>0.884071</td>\n",
       "      <td>0.921499</td>\n",
       "      <td>0.951824</td>\n",
       "      <td>0.870397</td>\n",
       "      <td>0.808550</td>\n",
       "      <td>0.870360</td>\n",
       "      <td>0.709037</td>\n",
       "      <td>0.859168</td>\n",
       "      <td>0.956158</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.544185</td>\n",
       "      <td>0.904451</td>\n",
       "      <td>0.872097</td>\n",
       "      <td>0.896488</td>\n",
       "      <td>0.793856</td>\n",
       "      <td>0.897194</td>\n",
       "      <td>0.897632</td>\n",
       "      <td>0.877332</td>\n",
       "      <td>0.683116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>甘肃省</td>\n",
       "      <td>-0.582015</td>\n",
       "      <td>-0.619639</td>\n",
       "      <td>-0.592839</td>\n",
       "      <td>-0.449030</td>\n",
       "      <td>-0.621676</td>\n",
       "      <td>-0.420431</td>\n",
       "      <td>-0.636966</td>\n",
       "      <td>-0.445469</td>\n",
       "      <td>-0.603018</td>\n",
       "      <td>-0.649515</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.544185</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.608743</td>\n",
       "      <td>-0.405184</td>\n",
       "      <td>-0.465259</td>\n",
       "      <td>-0.589677</td>\n",
       "      <td>-0.614820</td>\n",
       "      <td>-0.595684</td>\n",
       "      <td>-0.503158</td>\n",
       "      <td>-0.444611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>福建省</td>\n",
       "      <td>0.859181</td>\n",
       "      <td>0.995365</td>\n",
       "      <td>0.975378</td>\n",
       "      <td>0.776131</td>\n",
       "      <td>0.987866</td>\n",
       "      <td>0.952594</td>\n",
       "      <td>0.989930</td>\n",
       "      <td>0.905328</td>\n",
       "      <td>0.991218</td>\n",
       "      <td>0.941649</td>\n",
       "      <td>...</td>\n",
       "      <td>0.904451</td>\n",
       "      <td>-0.608743</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.927759</td>\n",
       "      <td>0.974469</td>\n",
       "      <td>0.653686</td>\n",
       "      <td>0.994401</td>\n",
       "      <td>0.996092</td>\n",
       "      <td>0.946872</td>\n",
       "      <td>0.397257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>西藏自治区</td>\n",
       "      <td>0.816097</td>\n",
       "      <td>0.922291</td>\n",
       "      <td>0.908313</td>\n",
       "      <td>0.775546</td>\n",
       "      <td>0.921825</td>\n",
       "      <td>0.931632</td>\n",
       "      <td>0.916685</td>\n",
       "      <td>0.850257</td>\n",
       "      <td>0.916054</td>\n",
       "      <td>0.884769</td>\n",
       "      <td>...</td>\n",
       "      <td>0.872097</td>\n",
       "      <td>-0.405184</td>\n",
       "      <td>0.927759</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.929300</td>\n",
       "      <td>0.583696</td>\n",
       "      <td>0.920599</td>\n",
       "      <td>0.924768</td>\n",
       "      <td>0.945663</td>\n",
       "      <td>0.348162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>贵州省</td>\n",
       "      <td>0.857771</td>\n",
       "      <td>0.974727</td>\n",
       "      <td>0.971677</td>\n",
       "      <td>0.799415</td>\n",
       "      <td>0.967359</td>\n",
       "      <td>0.954096</td>\n",
       "      <td>0.965369</td>\n",
       "      <td>0.885583</td>\n",
       "      <td>0.963326</td>\n",
       "      <td>0.918091</td>\n",
       "      <td>...</td>\n",
       "      <td>0.896488</td>\n",
       "      <td>-0.465259</td>\n",
       "      <td>0.974469</td>\n",
       "      <td>0.929300</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.628448</td>\n",
       "      <td>0.968578</td>\n",
       "      <td>0.973595</td>\n",
       "      <td>0.936121</td>\n",
       "      <td>0.377169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>辽宁省</td>\n",
       "      <td>0.783098</td>\n",
       "      <td>0.659175</td>\n",
       "      <td>0.719140</td>\n",
       "      <td>0.837675</td>\n",
       "      <td>0.663060</td>\n",
       "      <td>0.510994</td>\n",
       "      <td>0.655370</td>\n",
       "      <td>0.324248</td>\n",
       "      <td>0.621289</td>\n",
       "      <td>0.848431</td>\n",
       "      <td>...</td>\n",
       "      <td>0.793856</td>\n",
       "      <td>-0.589677</td>\n",
       "      <td>0.653686</td>\n",
       "      <td>0.583696</td>\n",
       "      <td>0.628448</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.680933</td>\n",
       "      <td>0.661171</td>\n",
       "      <td>0.574164</td>\n",
       "      <td>0.793668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>重庆市</td>\n",
       "      <td>0.845188</td>\n",
       "      <td>0.995473</td>\n",
       "      <td>0.969978</td>\n",
       "      <td>0.771700</td>\n",
       "      <td>0.992087</td>\n",
       "      <td>0.947836</td>\n",
       "      <td>0.994252</td>\n",
       "      <td>0.884432</td>\n",
       "      <td>0.994806</td>\n",
       "      <td>0.946997</td>\n",
       "      <td>...</td>\n",
       "      <td>0.897194</td>\n",
       "      <td>-0.614820</td>\n",
       "      <td>0.994401</td>\n",
       "      <td>0.920599</td>\n",
       "      <td>0.968578</td>\n",
       "      <td>0.680933</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.998613</td>\n",
       "      <td>0.939822</td>\n",
       "      <td>0.391193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>陕西省</td>\n",
       "      <td>0.840802</td>\n",
       "      <td>0.995238</td>\n",
       "      <td>0.967089</td>\n",
       "      <td>0.766404</td>\n",
       "      <td>0.990428</td>\n",
       "      <td>0.956305</td>\n",
       "      <td>0.991588</td>\n",
       "      <td>0.898981</td>\n",
       "      <td>0.995820</td>\n",
       "      <td>0.940883</td>\n",
       "      <td>...</td>\n",
       "      <td>0.897632</td>\n",
       "      <td>-0.595684</td>\n",
       "      <td>0.996092</td>\n",
       "      <td>0.924768</td>\n",
       "      <td>0.973595</td>\n",
       "      <td>0.661171</td>\n",
       "      <td>0.998613</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.945696</td>\n",
       "      <td>0.372686</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>青海省</td>\n",
       "      <td>0.841184</td>\n",
       "      <td>0.936170</td>\n",
       "      <td>0.906545</td>\n",
       "      <td>0.773475</td>\n",
       "      <td>0.952449</td>\n",
       "      <td>0.960201</td>\n",
       "      <td>0.938512</td>\n",
       "      <td>0.886756</td>\n",
       "      <td>0.943672</td>\n",
       "      <td>0.906843</td>\n",
       "      <td>...</td>\n",
       "      <td>0.877332</td>\n",
       "      <td>-0.503158</td>\n",
       "      <td>0.946872</td>\n",
       "      <td>0.945663</td>\n",
       "      <td>0.936121</td>\n",
       "      <td>0.574164</td>\n",
       "      <td>0.939822</td>\n",
       "      <td>0.945696</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.357407</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>黑龙江省</td>\n",
       "      <td>0.739290</td>\n",
       "      <td>0.367880</td>\n",
       "      <td>0.509818</td>\n",
       "      <td>0.819873</td>\n",
       "      <td>0.367414</td>\n",
       "      <td>0.220973</td>\n",
       "      <td>0.367608</td>\n",
       "      <td>0.058655</td>\n",
       "      <td>0.315133</td>\n",
       "      <td>0.626264</td>\n",
       "      <td>...</td>\n",
       "      <td>0.683116</td>\n",
       "      <td>-0.444611</td>\n",
       "      <td>0.397257</td>\n",
       "      <td>0.348162</td>\n",
       "      <td>0.377169</td>\n",
       "      <td>0.793668</td>\n",
       "      <td>0.391193</td>\n",
       "      <td>0.372686</td>\n",
       "      <td>0.357407</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>31 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "name           上海市       云南省    内蒙古自治区       北京市       吉林省       四川省  \\\n",
       "name                                                                   \n",
       "上海市       1.000000  0.841560  0.916003  0.949907  0.840346  0.762489   \n",
       "云南省       0.841560  1.000000  0.974229  0.756331  0.993533  0.947160   \n",
       "内蒙古自治区    0.916003  0.974229  1.000000  0.846254  0.966545  0.911435   \n",
       "北京市       0.949907  0.756331  0.846254  1.000000  0.756262  0.676872   \n",
       "吉林省       0.840346  0.993533  0.966545  0.756262  1.000000  0.955953   \n",
       "四川省       0.762489  0.947160  0.911435  0.676872  0.955953  1.000000   \n",
       "天津市       0.840705  0.996092  0.972097  0.750375  0.997324  0.946694   \n",
       "宁夏回族自治区   0.650041  0.894061  0.836630  0.528891  0.887676  0.936479   \n",
       "安徽省       0.802679  0.993870  0.952397  0.716653  0.992432  0.961967   \n",
       "山东省       0.936114  0.938840  0.955343  0.901638  0.942577  0.860126   \n",
       "山西省       0.725310  0.609317  0.667596  0.795134  0.608357  0.450920   \n",
       "广东省       0.917864  0.976151  0.983455  0.858064  0.977537  0.904813   \n",
       "广西壮族自治区   0.817789  0.996470  0.962768  0.737492  0.992787  0.963811   \n",
       "新疆维吾尔自治区  0.764803  0.952560  0.914488  0.731339  0.941032  0.895158   \n",
       "江苏省       0.859205  0.578800  0.667091  0.890525  0.588057  0.503456   \n",
       "江西省       0.898261  0.975766  0.977856  0.842045  0.976352  0.887722   \n",
       "河北省       0.888920  0.942124  0.963565  0.875944  0.944273  0.867553   \n",
       "河南省       0.938088  0.925417  0.954684  0.919485  0.926090  0.825227   \n",
       "浙江省       0.840933  0.788415  0.828579  0.814046  0.804236  0.650530   \n",
       "海南省       0.844951  0.804959  0.843690  0.830666  0.755669  0.718293   \n",
       "湖北省       0.829217  0.992281  0.953890  0.747464  0.990973  0.964616   \n",
       "湖南省       0.954151  0.884071  0.921499  0.951824  0.870397  0.808550   \n",
       "甘肃省      -0.582015 -0.619639 -0.592839 -0.449030 -0.621676 -0.420431   \n",
       "福建省       0.859181  0.995365  0.975378  0.776131  0.987866  0.952594   \n",
       "西藏自治区     0.816097  0.922291  0.908313  0.775546  0.921825  0.931632   \n",
       "贵州省       0.857771  0.974727  0.971677  0.799415  0.967359  0.954096   \n",
       "辽宁省       0.783098  0.659175  0.719140  0.837675  0.663060  0.510994   \n",
       "重庆市       0.845188  0.995473  0.969978  0.771700  0.992087  0.947836   \n",
       "陕西省       0.840802  0.995238  0.967089  0.766404  0.990428  0.956305   \n",
       "青海省       0.841184  0.936170  0.906545  0.773475  0.952449  0.960201   \n",
       "黑龙江省      0.739290  0.367880  0.509818  0.819873  0.367414  0.220973   \n",
       "\n",
       "name           天津市   宁夏回族自治区       安徽省       山东省  ...       湖南省       甘肃省  \\\n",
       "name                                              ...                       \n",
       "上海市       0.840705  0.650041  0.802679  0.936114  ...  0.954151 -0.582015   \n",
       "云南省       0.996092  0.894061  0.993870  0.938840  ...  0.884071 -0.619639   \n",
       "内蒙古自治区    0.972097  0.836630  0.952397  0.955343  ...  0.921499 -0.592839   \n",
       "北京市       0.750375  0.528891  0.716653  0.901638  ...  0.951824 -0.449030   \n",
       "吉林省       0.997324  0.887676  0.992432  0.942577  ...  0.870397 -0.621676   \n",
       "四川省       0.946694  0.936479  0.961967  0.860126  ...  0.808550 -0.420431   \n",
       "天津市       1.000000  0.887383  0.992798  0.937580  ...  0.870360 -0.636966   \n",
       "宁夏回族自治区   0.887383  1.000000  0.909857  0.732183  ...  0.709037 -0.445469   \n",
       "安徽省       0.992798  0.909857  1.000000  0.920204  ...  0.859168 -0.603018   \n",
       "山东省       0.937580  0.732183  0.920204  1.000000  ...  0.956158 -0.649515   \n",
       "山西省       0.600819  0.264333  0.568968  0.801503  ...  0.746792 -0.551666   \n",
       "广东省       0.979247  0.804646  0.961359  0.983242  ...  0.935706 -0.640183   \n",
       "广西壮族自治区   0.992594  0.916188  0.996697  0.922325  ...  0.870820 -0.575731   \n",
       "新疆维吾尔自治区  0.944235  0.794922  0.959074  0.912932  ...  0.862898 -0.546628   \n",
       "江苏省       0.579611  0.321399  0.554495  0.798152  ...  0.837995 -0.499966   \n",
       "江西省       0.979587  0.796700  0.960661  0.979409  ...  0.922491 -0.680071   \n",
       "河北省       0.944304  0.734824  0.925378  0.974283  ...  0.923285 -0.576500   \n",
       "河南省       0.922893  0.702772  0.897092  0.992098  ...  0.953426 -0.644874   \n",
       "浙江省       0.807050  0.458915  0.753818  0.882529  ...  0.794740 -0.637146   \n",
       "海南省       0.767726  0.675661  0.775923  0.836298  ...  0.922146 -0.459250   \n",
       "湖北省       0.988182  0.907504  0.995817  0.932778  ...  0.884281 -0.585413   \n",
       "湖南省       0.870360  0.709037  0.859168  0.956158  ...  1.000000 -0.544185   \n",
       "甘肃省      -0.636966 -0.445469 -0.603018 -0.649515  ... -0.544185  1.000000   \n",
       "福建省       0.989930  0.905328  0.991218  0.941649  ...  0.904451 -0.608743   \n",
       "西藏自治区     0.916685  0.850257  0.916054  0.884769  ...  0.872097 -0.405184   \n",
       "贵州省       0.965369  0.885583  0.963326  0.918091  ...  0.896488 -0.465259   \n",
       "辽宁省       0.655370  0.324248  0.621289  0.848431  ...  0.793856 -0.589677   \n",
       "重庆市       0.994252  0.884432  0.994806  0.946997  ...  0.897194 -0.614820   \n",
       "陕西省       0.991588  0.898981  0.995820  0.940883  ...  0.897632 -0.595684   \n",
       "青海省       0.938512  0.886756  0.943672  0.906843  ...  0.877332 -0.503158   \n",
       "黑龙江省      0.367608  0.058655  0.315133  0.626264  ...  0.683116 -0.444611   \n",
       "\n",
       "name           福建省     西藏自治区       贵州省       辽宁省       重庆市       陕西省  \\\n",
       "name                                                                   \n",
       "上海市       0.859181  0.816097  0.857771  0.783098  0.845188  0.840802   \n",
       "云南省       0.995365  0.922291  0.974727  0.659175  0.995473  0.995238   \n",
       "内蒙古自治区    0.975378  0.908313  0.971677  0.719140  0.969978  0.967089   \n",
       "北京市       0.776131  0.775546  0.799415  0.837675  0.771700  0.766404   \n",
       "吉林省       0.987866  0.921825  0.967359  0.663060  0.992087  0.990428   \n",
       "四川省       0.952594  0.931632  0.954096  0.510994  0.947836  0.956305   \n",
       "天津市       0.989930  0.916685  0.965369  0.655370  0.994252  0.991588   \n",
       "宁夏回族自治区   0.905328  0.850257  0.885583  0.324248  0.884432  0.898981   \n",
       "安徽省       0.991218  0.916054  0.963326  0.621289  0.994806  0.995820   \n",
       "山东省       0.941649  0.884769  0.918091  0.848431  0.946997  0.940883   \n",
       "山西省       0.599581  0.526567  0.580318  0.994145  0.629971  0.610123   \n",
       "广东省       0.974663  0.913244  0.955565  0.770570  0.981070  0.974724   \n",
       "广西壮族自治区   0.993847  0.930622  0.977733  0.623712  0.993952  0.995746   \n",
       "新疆维吾尔自治区  0.945709  0.874450  0.921421  0.710311  0.965949  0.962230   \n",
       "江苏省       0.615183  0.571201  0.583952  0.795015  0.607395  0.601838   \n",
       "江西省       0.970847  0.900538  0.942789  0.778445  0.979217  0.971465   \n",
       "河北省       0.936544  0.887258  0.932729  0.835437  0.953366  0.944223   \n",
       "河南省       0.923143  0.863670  0.913178  0.868706  0.929709  0.922009   \n",
       "浙江省       0.762298  0.728837  0.757455  0.815649  0.788887  0.766561   \n",
       "海南省       0.836293  0.767771  0.818759  0.679264  0.808955  0.816897   \n",
       "湖北省       0.993395  0.926504  0.971770  0.636562  0.993700  0.996445   \n",
       "湖南省       0.904451  0.872097  0.896488  0.793856  0.897194  0.897632   \n",
       "甘肃省      -0.608743 -0.405184 -0.465259 -0.589677 -0.614820 -0.595684   \n",
       "福建省       1.000000  0.927759  0.974469  0.653686  0.994401  0.996092   \n",
       "西藏自治区     0.927759  1.000000  0.929300  0.583696  0.920599  0.924768   \n",
       "贵州省       0.974469  0.929300  1.000000  0.628448  0.968578  0.973595   \n",
       "辽宁省       0.653686  0.583696  0.628448  1.000000  0.680933  0.661171   \n",
       "重庆市       0.994401  0.920599  0.968578  0.680933  1.000000  0.998613   \n",
       "陕西省       0.996092  0.924768  0.973595  0.661171  0.998613  1.000000   \n",
       "青海省       0.946872  0.945663  0.936121  0.574164  0.939822  0.945696   \n",
       "黑龙江省      0.397257  0.348162  0.377169  0.793668  0.391193  0.372686   \n",
       "\n",
       "name           青海省      黑龙江省  \n",
       "name                          \n",
       "上海市       0.841184  0.739290  \n",
       "云南省       0.936170  0.367880  \n",
       "内蒙古自治区    0.906545  0.509818  \n",
       "北京市       0.773475  0.819873  \n",
       "吉林省       0.952449  0.367414  \n",
       "四川省       0.960201  0.220973  \n",
       "天津市       0.938512  0.367608  \n",
       "宁夏回族自治区   0.886756  0.058655  \n",
       "安徽省       0.943672  0.315133  \n",
       "山东省       0.906843  0.626264  \n",
       "山西省       0.505301  0.770066  \n",
       "广东省       0.926908  0.533371  \n",
       "广西壮族自治区   0.947084  0.325268  \n",
       "新疆维吾尔自治区  0.866795  0.379222  \n",
       "江苏省       0.634208  0.886389  \n",
       "江西省       0.910116  0.527868  \n",
       "河北省       0.873051  0.569753  \n",
       "河南省       0.875100  0.651385  \n",
       "浙江省       0.723691  0.647494  \n",
       "海南省       0.737896  0.621163  \n",
       "湖北省       0.959088  0.344495  \n",
       "湖南省       0.877332  0.683116  \n",
       "甘肃省      -0.503158 -0.444611  \n",
       "福建省       0.946872  0.397257  \n",
       "西藏自治区     0.945663  0.348162  \n",
       "贵州省       0.936121  0.377169  \n",
       "辽宁省       0.574164  0.793668  \n",
       "重庆市       0.939822  0.391193  \n",
       "陕西省       0.945696  0.372686  \n",
       "青海省       1.000000  0.357407  \n",
       "黑龙江省      0.357407  1.000000  \n",
       "\n",
       "[31 rows x 31 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data2.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2af7f728710>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,10))\n",
    "sns.heatmap(data2.corr())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
